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Use Gemini CLI for research with Google Search grounding and 1M token context
npx skill4agent add dnyoussef/context-cascade gemini-research.claude/library/catalog.json.claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.mdD:\Projects\*| Match | Action |
|---|---|
| Library >90% | REUSE directly |
| Library 70-90% | ADAPT minimally |
| Pattern exists | FOLLOW pattern |
| In project | EXTRACT |
| No match | BUILD (add to library after) |
/gemini-research "What are the latest React 19 best practices?"/gemini-research "Analyze architecture" --context @src//gemini-research "Summarize all papers" --context papers/*.pdfbash scripts/multi-model/gemini-research.sh "<query>" "<task_id>" "json"multi-model/gemini/research/{task_id}{
"content": "Research findings...",
"sources": ["url1", "url2"],
"model": "gemini-2.5-pro",
"timestamp": "2025-12-28T..."
}// Claude agent reads Gemini research
const research = memory_retrieve("multi-model/gemini/research/{task_id}");
Task("Coder", `Implement using: ${research.content}`, "coder");